Indoor Blimp

Indoor blimps are miniature, lighter-than-air robots being developed for applications like surveillance and indoor mapping. Current research focuses on improving autonomous navigation through vision-based localization systems and advanced control algorithms, including spiking neural networks inspired by biological systems and those incorporating aerodynamic lift for enhanced stability. These advancements aim to create more robust and energy-efficient indoor blimps, overcoming challenges like environmental disturbances and power constraints, thereby expanding their practical utility.